- $1,075,000
- 5Bd
- 5Ba
- 4,303 Sq Ft
SOLD






































































Last sold 11/26/2025 after 54 Days
bed
bath
Sqft ($295/Sqft)
| Property type House | Neighborhood | Year built 2015 | HOA fee $129/month | Lot size 0.29 Acre | Movoto estimate | Parking 3 garage spaces |
| Overview | |
| Levels/Style | Three Or More |
| Status | Closed |
| SubType | Residential Detached |
| MLS # | 7660125 |
| SqFt | 3937 |
| Lot Size (Acres) | 0.29 |
| Property Tax $ | 2097 |
| HOA Fee $ | Annually, 1550 |
| Year Built | 2015 |
| Property Condition | Resale |
| Interior | |
| # Full Bathrooms | 5 |
| Total # of Bedrooms | 5 |
| # Fireplaces | 1 |
| Accessibility Features | None |
| Window Features | Double Pane Windows |
| Exterior |
| Amenities / Utilities | |
| Water Source | Public |
| Sewer/ Septic | Public Sewer |
| Green Features: Energy Efficient | None |
| Green Features: Energy Generation | None |
| Electricity | 110 Volts |
| Spa | None |
| Pool Desc | None |
| Horse Amenities | None |
| Location | |
| Body of Water | None |
| View | Trees/Woods |
| County | Forsyth - GA |
| Subdivision | The Reserve At Old Atlanta |
| Elementary School | Johns Creek |
| High School | Lambert |
| Middle School | Riverwatch |
| Directions | GPS Friendly |
| APN | 182-000-475 |
| Lot/ Land Details | |
| Road Type | Private Road |
MLS # 7660125
MLS # 10618334| Est. value | Bed/bath | Sqft | mi | |
|---|---|---|---|---|
| 6005 Read Rd, Suwanee, GA 30024 | $1,347,000 | 6/6 | 3,654 | 0.02 |
| 5915 Read Rd, Suwanee, GA 30024 | $1,395,000 | 7/5 | 3,710 | 0.02 |
| 6010 Pipers Gln, Suwanee, GA 30024 | $1,303,000 | 4/5 | 4,763 | 0.03 |
| 5905 Read Rd, Suwanee, GA 30024 | $1,243,000 | 4/4 | 3,890 | 0.04 |
| 6015 Read Rd, Suwanee, GA 30024 | $1,341,000 | 6/5 | 4,325 | 0.04 |
| 5905 Meyers Park, Suwanee, GA 30024 | $1,120,000 | 5/4 | 3,600 | 0.04 |
| 6005 Pipers Gln, Suwanee, GA 30024 | $1,188,000 | 5/5 | 4,476 | 0.05 |
| 5835 Read Rd, Suwanee, GA 30024 | $1,641,000 | 5/5 | 4,460 | 0.05 |
Estimated values are based on public record data and automated valuation models. Values are not guaranteed and may not reflect current market conditions.
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